Self-adaptive fuzzing optimization method based on distribution divergence
To improve the performance of coverage-guided fuzzing, a method for self-adaptive optimization of fuzzing using distribution divergence and a deep reinforcement learning model was proposed. An interprocedural comparison flow graph was first constructed based on the interprocedural control flow graph...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2024-12-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024079 |
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